{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T03:33:25Z","timestamp":1760240005322,"version":"build-2065373602"},"reference-count":49,"publisher":"MDPI AG","issue":"5","license":[{"start":{"date-parts":[[2019,3,4]],"date-time":"2019-03-04T00:00:00Z","timestamp":1551657600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100003759","name":"Universidad Polit\u00e9cnica de Madrid","doi-asserted-by":"publisher","award":["CH\/016\/2012"],"award-info":[{"award-number":["CH\/016\/2012"]}],"id":[{"id":"10.13039\/501100003759","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Latest advances of deep learning paradigm and 3D imaging systems have raised the necessity for more complete datasets that allow exploitation of facial features such as pose, gender or age. In our work, we propose a new facial dataset collected with an innovative RGB\u2013D multi-camera setup whose optimization is presented and validated. 3DWF includes 3D raw and registered data collection for 92 persons from low-cost RGB\u2013D sensing devices to commercial scanners with great accuracy. 3DWF provides a complete dataset with relevant and accurate visual information for different tasks related to facial properties such as face tracking or 3D face reconstruction by means of annotated density normalized 2K clouds and RGB\u2013D streams. In addition, we validate the reliability of our proposal by an original data augmentation method from a massive set of face meshes for facial landmark detection in 2D domain, and by head pose classification through common Machine Learning techniques directed towards proving alignment of collected data.<\/jats:p>","DOI":"10.3390\/s19051103","type":"journal-article","created":{"date-parts":[[2019,3,5]],"date-time":"2019-03-05T03:01:23Z","timestamp":1551754883000},"page":"1103","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Three-D Wide Faces (3DWF): Facial Landmark Detection and 3D Reconstruction over a New RGB\u2013D Multi-Camera Dataset"],"prefix":"10.3390","volume":"19","author":[{"given":"Marcos","family":"Quintana","sequence":"first","affiliation":[{"name":"Grupo de Aplicaci\u00f3n de Telecomunicaciones Visuales, Universidad Politecnica de Madrid, 28040 Madrid, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sezer","family":"Karaoglu","sequence":"additional","affiliation":[{"name":"Computer Vision Lab, University of Amsterdam, 1098 XH Amsterdam, The Netherlands"},{"name":"3DUniversum, 1098 XH Amsterdam, The Netherlands"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7400-9591","authenticated-orcid":false,"given":"Federico","family":"Alvarez","sequence":"additional","affiliation":[{"name":"Grupo de Aplicaci\u00f3n de Telecomunicaciones Visuales, Universidad Politecnica de Madrid, 28040 Madrid, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jose Manuel","family":"Menendez","sequence":"additional","affiliation":[{"name":"Grupo de Aplicaci\u00f3n de Telecomunicaciones Visuales, Universidad Politecnica de Madrid, 28040 Madrid, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Theo","family":"Gevers","sequence":"additional","affiliation":[{"name":"Computer Vision Lab, University of Amsterdam, 1098 XH Amsterdam, The Netherlands"},{"name":"3DUniversum, 1098 XH Amsterdam, The Netherlands"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2019,3,4]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"1962","DOI":"10.1109\/TPAMI.2011.48","article-title":"Describable Visual Attributes for Face Verification and Image Search","volume":"33","author":"Kumar","year":"2011","journal-title":"IEEE Trans. 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